Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

dr. T Sherson

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Jun 2019): A distributed algorithm for robust LCMV beamforming
Promotor: Richard Heusdens, Bastiaan Kleijn

Expertise: audio signal processing

Biography

Tom Sherson was a PhD student with Richard Heusdens and Bastiaan Kleijn, starting 1 January 2015, on a project with Huawei. He graduated in June 2019.

Projects history

Distributed Processing of Audio Signals

Industry-sponsored project that aims to develop new distributed processing approaches and new computational methods for determining the acoustic room response.

Multi-Microphone

Distributed block-diagonal linearly constrained beamformer

Software, Apr 2019

Speech enhancement and noise PSD estimation

Distributed block-diagonal linearly constrained beamformer

Software, Apr 2019

  1. On the Distributed Method of Multipliers for Separable Convex Optimization Problems
    T. Sherson; R. Heusdens; W.B. Kleijn;
    IEEE Transactions on Signal and Information Processing over Networks,
    March 2019. DOI: 10.1109/TSIPN.2019.2901649
    document

  2. Distributed Convex Optimization
    T.W. Sherson;
    PhD thesis, TU Delft, Fac. EEMCS, June 2019. ISBN: 978-94-6384-041-5. DOI: 10.4233/uuid:fb60dba0-e5f9-451e-b664-e3ca0d45b36b
    document

  3. A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology
    A.I. Koutrouvelis; T.W. Sherson; R. Heusdens; R.C. Hendriks;
    IEEE/ACM Transactions on Audio, Speech, and Language Processing,
    Volume 26, Issue 8, pp. 1434-1448, August 2018. ISSN: 2329-9290. DOI: 10.1109/TASLP.2018.2829405
    document • software

  4. Derivation and analysis of the primal-dual method of multipliers based on monotone operator theory
    T.W. Sherson; R. Heusdens; W.B. Kleijn;
    IEEE Transactions on Signal and Information Processing over Networks,
    October 2018.

  5. Quantisation effects in distributed optimisation
    J.A.G. Jonkman; T. Sherson; R. Heusdens;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 3649-3653, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461782
    document

  6. Sound processing node of an arrangement of sound processing nodes
    Yue Lang; Wenyu Jin; T. Sherson; R. Heusdens; W.B. Kleijn;
    Patent, US, EP, CN, WO US20180270573A1, EP331159, March 2018. Assignee: Huawei Technologies Co Ltd.
    document

  7. Quantisation effects in PDMM: a first study for synchronous distributed averaging
    D.H.M. Schellekens; T. Sherson; R. Heusdens;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 4237-4241, March 2017. DOI: 10.1109/ICASSP.2017.7952955
    document

  8. A distributed algorithm for robust LCMV beamforming
    T. Sherson; W.B. Kleijn; R. Heusdens;
    In IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP),
    Shanghai (China), IEEE, March 2016.
    document

  9. On the duality of globally constrained separable problems and its application to distributed signal processing
    T. Sherson; R. Heusdens; W.B. Kleijn;
    In EUSIPCO,
    Budapest (Hungary), August 2016.
    document

  10. A sound processing node of an arrangement of sound processing nodes
    W. Jin; T.W. Sherson; W.B. Keijn; R. Heusdens; Y. Lang;
    Patent, PCT/EP2016/078384, 2016.

BibTeX support

Last updated: 13 Nov 2022

Thomas Sherson

Alumnus